Sometimes, we want to split cell into multiple rows in a Python Pandas dataframe.
In this article, we’ll look at how to split cell into multiple rows in a Python Pandas dataframe.
How to split cell into multiple rows in a Python Pandas dataframe?
To split cell into multiple rows in a Python Pandas dataframe, we can use the apply method.
For instance, we write
df.set_index(['order_id', 'order_date'])
.apply(lambda x: x.str.split(',').explode())
.reset_index()
to call apply with a lambda function that calls str.split to split the x string value.
And then we call explode to fill new rows with the split values.
Finally, we call `reset_index to reset the index numbers after filling the rows with the split values.
Conclusion
To split cell into multiple rows in a Python Pandas dataframe, we can use the apply method.
